Reading through @taskmaster4450’s latest posts, I was kind of shocked to find that a new Deep Learning tool had suggested one of my articles to read on his post, The Changing Face of The Trending Page

As you all know, it’s the deep learning aspect of all the major social platforms like Twitter, YouTube and Facebook that are masters at getting us hooked on them. The one thing they do better than anything else is give us what we want, and they also cater to our interests.
Now contrast this with Steem, where we have mountains of content, and no way of finding what we want. We have the opposite problems in here, mainly because there has been no focus on user experience and giving us what we want to read, or creating an actual “Related posts” part of the experience in order to find more content that interests us.

I’m happy to say that we now have a Deep Learning tool to use to discover content related to our posts. We can all try it out for free, to see how it works.

Here’s how to get Deep Learning on your posts:

Step 1: Write post.
Step 2: Use the tag interesteem.
Step 3: Wait.

In my first post I tried out, I used the tag #interesteem and additionally I mentioned @interesteem, but I think this just might be an extra and unnecessary step.

So far I really like this tool, and I’ll be using it on my posts going forward. This is one solution we have now to solve the content discoverability issue that we have been suffering from for a long time.

There are still people who like to read and research, so let’s see how this Deep Learning tool stacks up. I would like to suggest to the developer that the two lists just be combined into one because it looks repetitive.

Cheers,
Stella

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